Module: Cluster Analysis for Grids
(c) 2001 by O.Conrad
Menu: Grid > Discretisation > Classification
Description
Cluster Analysis for grids.

References:

Iterative Minimum Distance:
- Forgy, E. (1965):
'Cluster Analysis of multivariate data: efficiency vs. interpretability of classifications',
Biometrics 21:768

Hill-Climbing:- Rubin, J. (1967):
'Optimal Classification into Groups: An Approach for Solving the Taxonomy Problem',
J. Theoretical Biology, 15:103-144


Parameters
NameTypeIdentifierDescriptionConstraints
Input
Grids Grid list (input)INPUT
Output
ClustersGrid (output)RESULT
StatisticsTable (output)STATISTICS
Options
MethodChoiceMETHODAvailable Choices:
[0] Iterative Minimum Distance (Forgy 1965)
[1] Hill-Climbing (Rubin 1967)
[2] Combined Minimum Distance / Hillclimbing
ClustersIntegerNCLUSTERNumber of clustersMinimum: 2.000000
NormaliseBooleanNORMALISEAutomatically normalise grids by standard deviation before clustering.
Update ViewBooleanUPDATEVIEWUpdate cluster view while clustering.